NeuroPilot: A Cross-Platform Framework for Edge-AI

Tung-Chien Chen, Wei-Ting Wang, Kloze Kao, Chia-Lin Yu, C. Lin, Shu-Hsin Chang, Pei-Kuei Tsung
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引用次数: 8

Abstract

Artificial intelligence (AI) has been applied from cloud servers to edge devices because of its rapid response, privacy, robustness, and the efficient use of network bandwidth. However, it is challengeable to deploy the computation and memory-bandwidth intensive AI to edge devices for the power and hardware resource are limited. The various needs of applications, diverse devices and the fragmented supporting tools make the integration a tough work. In this paper, the NeuroPilot, a cross-platform framework for edge AI, is introduced. Technologies on software, hardware and integration levels are proposed to achieve the high performance and preserve the flexibility meanwhile. The NeuroPilot solution provides the superior edge AI ability for a wide range of applications.
NeuroPilot: Edge-AI跨平台框架
人工智能(AI)因其快速响应、隐私、鲁棒性和有效利用网络带宽而被从云服务器应用到边缘设备。然而,由于功率和硬件资源的限制,将计算和内存带宽密集型人工智能部署到边缘设备是具有挑战性的。应用程序的各种需求、不同的设备和分散的支持工具使得集成成为一项艰巨的工作。本文介绍了边缘人工智能的跨平台框架NeuroPilot。从软件、硬件和集成度三个层面提出了实现高性能和保持灵活性的技术。NeuroPilot解决方案为广泛的应用提供了卓越的边缘AI能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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